I have a measure called "TimeSpent", which is time that the user spends in seconds on a certain page. I have an attribute called "Domain" which is the site the user visited, and I have the "Date". I want to create a stacked bar chart showing the sum of TimeSpent for each domain on each day. As there are too many domains, I try to filter the top 10. However, that returns the top 10 overall, and I would like to show the top 10 sites per each of the days. I tried many different things, but I am struggling. Could someone help me?
This really depends on your model and connection points, and also how that initial metric "TimeSpent" was built. At first thought you could try something like the following:
Select TimeSpent Where top (10) in (Select TimeSpent) By (connectionpoint) within (domain, ALL OTHER)
However, you may need to incorporate a Disconnected Date Dimension into the LDM in order to make this work in your use case.
Related
I have an application which calls the database multiple times to achieve one simple goal.
A little information about this application; In short, the application scrapes data from a webpage & stores specific information from this page into a database. The important information in this query is: Player name, Position. There can be multiple sitting at one specific position, kill points & Class
Player name has every potential to change or remain the same every day
Regarding the Position, there can be multiple sitting in one position
Kill points has the potential to increase or remain the same every day
Class, there is only 2 possibilities that a name can be, Ex: A can change to B or remain A (same in reverse), but cannot be C,D,E,F
The player name can change at any particular day, Position can also change dependent on the kill point increase from the last update which spins back around to the goal. This is to search the database day by day, from the current date to as far back as 2021-02-22 starting at the most recent entry for a player name and back track to the previous day to check if that player name is still the same or has changed.
What is being used as a main reference to the change is the kill points. As the days go on, this number will either be the exact same or increase, it can never decrease.
So now onto the implementation of this application.
The first query which runs finds the most recent entry for the player name
SELECT TOP(1) * FROM [changes] WHERE [CharacterName]=#charname AND [Territory]=#territory AND [Archived]=0 ORDER BY [Recorded] DESC
Then continue to check the previous days entries with the following query:
SELECT TOP(1) * FROM [changes] WHERE [Territory]=#territory AND [CharacterName]=#charname AND [Recorded]=#searchdate AND ([Class] LIKE '%{Class}%' OR [Class] LIKE '%{GetOpposite(Class)}%' AND [Archived]=0 )
If no results are found, will then proceed to find an alternative name with the following query:
SELECT TOP(5) * FROM [changes] WHERE [Kills] <= #kills AND [Recorded]='{Data.Recorded.AddDays(-1):yyyy-MM-dd}' AND [Territory]=#territory AND [Mode]=#mode AND ([Class] LIKE #original OR [Class] LIKE #opposite) AND [Archived]=0 ORDER BY [Kills] DESC
The aim of the query above is to get the top 5 entries that are the closest possible matches & Then cross references with the day ahead
SELECT COUNT(*) FROM [changes] WHERE [CharacterName]=#CharacterName AND [Territory]=#Territory AND [Recorded]=#SearchedDate AND [Archived]=0
So with checking the day ahead, if the character name is not found in the day ahead, then this is considered to be the old player name for this specific character, else after searching all 5 of the results and they are all found to be present in the day aheads searches, then this name is considered to be new to the table.
Now with the date this application started to run up to today's date which is over 400 individual queries on the database to achieve one goal.
It is also worth a noting that this table grows by 14,400 - 14,500 Rows each and every day.
The overall question to this specific? Is it possible to bring all these queries into less calls onto the database, reduce queries & improve performance?
What you can do to improve performance will be based on what parts of the application stack you can manipulate. Things to try:
Store Less Data - Database content retrieval speed is largely based on how well the database is ordered/normalized and just how much data needs to be searched for each query. Managing a cache of prior scraped pages and only storing data when there's been a change between the current scrape and the last one would guarantee less redundant requests to the db.
Separate specific classes of data - Separating data into dedicated tables would allow you to query a specific table for a specific character, etc... effectively removing one where clause.
Reduce time between queries - Less incoming concurrent requests means less resource contention and faster response times to prior requests.
Use another data structure - The only reason you're using top() is because you need data ordered in some specific way (most-recent, etc...). If you just used a code data structure that keeps the data ordered and still easily-query-able you could then perhaps offload some sql requests to this structure instead of the db.
The suggestions above are not exhaustive, but what you do to improve performance is largely a function of what in the application stack you have the ability to modify.
I am trying to create a chart showing the 10 highest-performing teams according to their "proportion of target achieved" score.
My dataset comprises every day worked by every individual in my organisation. The data is grouped in a stored procedure by month, team, job role, area of the organisation...
My SSRS report takes this data and sums it at a report level, based on a half-dozen parameters (mainly to the above groups).
The data is presented via a table, showing (for a given person/group/category) the hours worked, actual contact time (time with clients), expected contact time (time they're meant to spend with clients), and the proportion of their target they are achieving (actual contact time / expected contact time). All of this is reported for each of the last 6 months.
I.e.
I wanted to create a bar chart showing the 10 teams with the highest proportion of target achieved values. This variable is calculated in SSRS in order to allow for the data to be more flexible.
SSRS wouldn't let me use that calculation in a chart filter, so I added a denserank (called TeamOrder) for the teams in the stored procedure.
This is where the issue arises.
TeamOrder is used in the filter, and set to <= 10. 10 teams are displayed in the graph, but not the 10 that have values of TeamOrder equal to 1-10. The top couple are right, but in 10th position, for example, it's displaying the 32nd-best team.
Weirdly, when I set the filter to TeamOrder = [value], then it displays the one (correct) team (including the correct number 10 when TeamOrder = 10).
I'm at a complete loss as to what might be happening; any help would be enormously appreciated.
Well, I'm absolute newbie in Google Data Studio, but for any reason, my grand totals rows is not working.
I'm learning to use this tool, and I made an easy table with just countries and sessions.
Piece of Cake. Now I just want to add a total row where it sums all sessions. That's all. I activated option Show Summary Row but it shows nothing.
Thing's I've done and not worked:
Update and refresh
Changed time period and tried different dates just in case.
Delete and create again full table.
Checked connection. I get data and the data is right, I just cannot sum it.
Changed size and format of table, just in case it where a problems or margins or font color.
And I know it can be done, because different sources. I've read this question here:
Grand Total is wrong in Google Data Studio
But it did not help. In that question, a user posted an image in the comments:
As you can see, he managed to get what I'm trying to do.
So I must be doing something wrong, and I do not why.
UPDATE 2: If I apply a filter, I get no totals. You can see my config in the right side of image.
Can anybody give me a clue of how to make a grand totals row in Google Data Studio?
Thanks
Sounds like a bug. It should be a case of selecting that tick box. Strangely, I looked at an existing table I have with totals and when I unticked the box and then ticked again, the totals didn't reappear and disappeared off another table on the page (like your example). They did reappear eventually with some refreshing of the data and page but seems like there's something wrong with them.
I don't think this is a bug I think it part of the design.
I actually just discovered the reason this is happening at least for me, it doesn't actually sum the values in the table, the grand total summary of a table is a sum of whatever the metric being used is not the actual rows shown in the chart. so if you have a dimension (like age / gender) where there is data thresholding applied internally by google but are using a metric such as users you will see the grand total from the metric value without the thresholding applied from the dimension.
Proof below
You can see the grand total for column 2 is not 953.6 its 453.6 and if i look at a non threshold dimension (country)
you can see where the 953.6 comes from since the data source supplied to the table uses 80% of all users 1192 * .8 give me 953.6 which is what the grand total is displaying. Conclusion, the only way this number could be possible is if, when using a threshold dimension for a table with metric there will be a discrepancy since the grand total value is not coming from the table values but rather from metric source data, which will not have the tables dimension applied for some odd reason.
I am new to Qlikview and after several failed attempts I have to ask for some guidance regarding charts in Qlikview. I want to create Line chart which will have:
One dimension – time period of one month broke down by days in it
One expression – Number of created tasks per day
Second expression – Number of closed tasks per day
Third expression – Number of open tasks per day
This is very basic example and I couldn’t find solution for this, and to be honest I think I don’t understand how I should setup my time period dimension and expression. Each time when I try to introduce more then one expression things go south. Maybe its because I have multiple dates or my dimension is wrong.
Here is my simple data:
http://pastebin.com/Lv0CFQPm
I have been reading about helper tables like Master Callendar or “Date Island” but I couldn’t grasp it. I have tried to follow guide from here: https://community.qlik.com/docs/DOC-8642 but that only worked for one date (for me at least).
How should I setup dimension and expression on my chart, so I can count the ID field if Created Date matches one from dimension and Status is appropriate?
I have personal edition so I am unable to open qwv files from other authors.
Thank you in advance, kind regards!
My solution to this would be to change from a single line per Call with associated dates to a concatenated list of Call Events with a single date each. i.e. each Call will have a creation event and a resolution event. This is how I achieve that. (I turned your data into a spreadsheet but the concept is the same for any data source.)
Calls:
LOAD Type,
Id,
Priority,
'New' as Status,
date(floor(Created)) as [Date],
time(Created) as [Time]
FROM
[Calls.xlsx]
(ooxml, embedded labels, table is Sheet1) where Created>0;
LOAD Type,
Id,
Priority,
Status,
date(floor(Resolved)) as [Date],
time(Resolved) as [Time]
FROM
[Calls.xlsx]
(ooxml, embedded labels, table is Sheet1) where Resolved>0;
Key concepts here are allowing QlikView's auto-conatenate to do it's job by making the field-names of both load statements exactly the same, including capitalisation. The second is splitting the timestamp into a Date and a time. This allows you to have a dimension of Date only and group the events for the day. (In big data sets the resource saving is also significant.) The third is creating the dummy 'New' status for each event on the day of it's creation date.
With just this data and these expressions
Created = count(if(Status='New',Id))
Resolved = count(if(Status='Resolved',Id))
and then
Created-Resolved
all with full accumulation ticked for Open (to give you a running total rather than a daily total which might go negative and look odd) you could draw this graph.
For extra completeness you could add this to the code section to fill up your dates and create the Master Calendar you spoke of. There are many other ways of achieving this
MINMAX:
load floor(num(min([Date]))) as MINTRANS,
floor(num(max([Date]))) as MAXTRANS
Resident Calls;
let zDateMin=FieldValue('MINTRANS',1);
let zDateMax=FieldValue('MAXTRANS',1);
//complete calendar
Dates:
LOAD
Date($(zDateMin) + IterNo() - 1, '$(DateFormat)') as [Date]
AUTOGENERATE 1
WHILE $(zDateMin)+IterNo()-1<= $(zDateMax);
Then you could draw this chart. Don't forget to turn Suppress Zero Values on the Presentation tab off.
But my suggestion would be to use a combo rather than line chart so that the calls per day are shown as discrete buckets (Bars) but the running total of Open calls is a line
Let's say I have a simple data set in csv like:
Time,User
01/22/2014 15:23:01,Bob
01/22/2014 16:24:01,John
01/22/2014 16:27:01,Bob
01/22/2014 17:23:01,Bob
Can I generate a box plot with Time on the x-axis (quantized to the hour), user on the y-axis, and sum(*) on the z-axis? So essentially the number of 'hits' per user per hour.
No matter how I try this, LogParser appears to only allow me one category (I have two, time and user). I get an error that either the time or the user is non-numerical.
Also, I don't know the full list of users... otherwise I could split out the 'sum(*)' to sum each user separately.
Thanks in advance, any help is much appreciated!
Unfortunately LogParser only supports one single categoric axis (the X axis), so the answer is no.